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CBIR Systems: Results of Feature Extraction with Color Feature Comparison with Standard Database

Bandna Kumari

Image retrieval is a distinguished field in digital image processing. Images can be extracted from a big collection of images on the basis of text, color and structure. In systems, using features which users are connected to like color get many similar and relevant images. In a typical Content based image retrieval (CBIR) system, the visual content of the images in the database are extracted and displayed by multi-dimensional feature vectors. The feature vector of the images in the database is a feature database. Most sought out systems represent images with color feature most related to user and shape feature to relate image to exact object. In this paper we present introduction to CBIR systems, research work on Color scheme with HSV color space making use of color histogram. A comparison with Corel dataset and evaluation with parameters precision, recall and f-measure are computed.